[PDF][PDF] Facial expression recognition using bidirectional LSTM-CNN

R Febrian, BM Halim, M Christina… - Procedia Comput …, 2023 - researchgate.net
Nowadays, there has been much attention on computer vision regarding human-computer
interaction, especially facial expression recognition (FER). Many researchers have explored …

Automatic diagnosis of Covid-19 related pneumonia from CXR and CT-Scan images

N Kumar, A Hashmi, M Gupta, A Kundu - Engineering, Technology & …, 2022 - etasr.com
Covid-19 is a highly infectious disease that spreads extremely fast and is transmitted
through indirect or direct contact. The scientists have categorized the Covid-19 cases into …

[PDF][PDF] Real-time face detection in digital video-based on Viola-Jones supported by convolutional neural networks

TH Obaida, AS Jamil, NF Hassan - International Journal of Electrical …, 2022 - academia.edu
Face detection is a critical function of security (secure witness face in the video) who appear
in a scene and are frequently captured by the camera. Recognition of people from their …

Recognition of Suspicious Human Activity in Video Surveillance: A Review

N Gupta, BB Agarwal - Engineering, Technology & Applied Science …, 2023 - etasr.com
Over the past few years, there has been a noticeable growth in the use of video surveillance
systems, frequently functioning as integrated systems that remotely monitor key locations. In …

Facial expression recognition based on active region of interest using deep learning and parallelism

MA Hossain, B Assiri - PeerJ Computer Science, 2022 - peerj.com
The automatic facial expression tracking method has become an emergent topic during the
last few decades. It is a challenging problem that impacts many fields such as virtual reality …

Crop disease identification by fusing multiscale convolution and vision transformer

D Zhu, J Tan, C Wu, KL Yung, AWH Ip - Sensors, 2023 - mdpi.com
With the development of smart agriculture, deep learning is playing an increasingly
important role in crop disease recognition. The existing crop disease recognition models are …

[PDF][PDF] Pandemic disease detection through wireless communication using infrared image based on deep learning

M Alhameed, F Jeribi, BME Elnaim… - Mathematical …, 2023 - researchgate.net
Rapid diagnosis to test diseases, such as COVID-19, is a significant issue. It is a routine
virus test in a reverse transcriptase-polymerase chain reaction. However, a test like this …

Face recognition and gender detection using SIFT feature extraction, LBPH, and SVM

H Alamri, E Alshanbari, S Alotaibi… - … , Technology & Applied …, 2022 - etasr.com
Face recognition and name and gender identification are challenging processes, especially
when identifying perpetrators and suspects or when used in authentication systems …

An efficient multi-modal facial gesture-based ensemble classification and reaction to sound framework for large video sequences

ST Chopparapu, JB Seventline - Engineering, Technology & Applied …, 2023 - etasr.com
Abstract Machine learning-based feature extraction and classification models play a vital
role in evaluating and detecting patterns in multivariate facial expressions. Most …

Logo recognition with the use of deep convolutional neural networks

A Alsheikhy, Y Said, M Barr - Engineering, Technology & Applied Science …, 2020 - etasr.com
Automatic logo recognition is gaining importance due to the increasing number of its
applications. Unlike other object recognition tasks, logo recognition is more challenging …